R&D Engineering, Staff Engineer - 18291

Category Engineering Hire Type Employee Job ID 18291 Base Salary Range $120000-$180000 Remote Eligible No Date Posted 08/02/2026

• Develop, optimize, and maintain LS-DYNA solvers and features including CPG, CPM, SPH, DEM, PBM, and EGMM methods
• Contribute to the development of meshfree and finite element methods that balance accuracy, stability, and computational efficiency
• Port SPH and other performance-critical features from CPU to GPU using OpenACC, OpenMP Offload, and CUDA
• Debug and resolve consistency issues in LS-DYNA HYBRID on large-scale customer models where identical inputs must produce identical results regardless of thread count or CPU allocation
• Implement and optimize parallel algorithms using OpenMP and MPI for distributed memory and shared memory systems
• Profile, benchmark, and tune code performance on HPC clusters and GPU-accelerated systems
• Collaborate with ACE engineers and customers to translate requirements into software solutions, diagnosing simulation issues and delivering fixes that hold up in production environments

• Reduce simulation runtime for automotive crash models by porting SPH solvers to GPU, enabling faster design iteration cycles for customers
• Implement novel numerical techniques to enable customers to solve increasingly complex engineering challenges
• Resolve consistency and accuracy issues in HYBRID solvers that directly affect customer confidence in simulation results, ensuring production runs scale reliably across varying compute resources
• Improve scalability of LS-DYNA on next-generation HPC architectures, ensuring the software remains competitive as hardware evolves
• Deliver performance improvements that allow engineers to run larger, more detailed models without requiring additional compute resources
• Contribute to the long-term maintainability and robustness of a codebase used by thousands of engineers worldwide
• Help customers move critical workloads to modern HPC platforms, reducing their time to insight and increasing their R&D throughput

• Bachelor's or Master's in Mechanical Engineering, Civil Engineering, Computer Science, or related field
• 4-5+ years of hands-on experience developing computational mechanics software or HPC simulation tools
• Strong proficiency in Fortran, C, and C++ for performance-critical scientific computing
• Demonstrated experience with parallel programming using OpenMP and MPI in production codebases
• Solid understanding of finite element methods, meshfree methods, or computational dynamics
• Experience with GPU programming using CUDA, OpenACC, or OpenMP Offload is a strong plus
• Familiarity with profiling and debugging tools for parallel and GPU-accelerated applications is a plus

• You have experience designing, implementing, and extending mechanics software and are comfortable working within large Fortran and C codebases
• You can collaborate effectively with customers and colleagues to translate customer requirements into software solutions
• You know how to isolate a performance bottleneck and propose a fix that improves runtime without sacrificing correctness
• You are willing to work hybrid in Livermore, CA, three days per week in the office with a team of six engineers who care deeply about the quality of the code they ship

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At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.